Multi-rotor unmanned aerial vehicle target real-time tracking shooting system and method

Abstract

The present invention provides a multi-rotor unmanned aerial vehicle target real-time tracking shooting system and method. The hardware system comprises a multi-rotor unmanned aerial vehicle, a flightcontrol unit, a holder, a manual and automatic control signal switching module, an image data processing unit and a monocular camera. The hardware devices are installed on an unmanned aerial vehicle,the camera is installed on the unmanned aerial vehicle holder, and the images shot by the camera are transmitted to the image processing unit. The target tracking method is employed to obtain a target position and convert the position information to flight control signals transmitted to the flight control unit to achieve tracking flight of a target. The multi-rotor unmanned aerial vehicle targetreal-time tracking shooting system and method are low in cost, low in power consumption, stable in tracking and complete in function, can perform real-time and accurate tracking shooting for the selected target, can be used for tracking of criminal offenders or vehicles and can be also used for travel aerial photo.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a method for automatic tracking and flight of an unmanned aerial vehicle. Background technique [0002] With the advancement of science and technology, ubiquitous cameras are gradually replacing human eyes. Combining effective intelligent algorithms can complete the search, identification and tracking of targets. Go anywhere a drone can go. Higher requirements are also put forward for the intelligent flight shooting function of drones, such as the need for drones to be able to track and shoot specified targets on the ground or in the air. [0003] Generally speaking, the tracking of the target by the aircraft is realized by the visual sensor. The common ways to track the target are, for example, by obtaining the positioning information of the target, by ground guidance, and by the video recognition system. However, with the video With the rapid development of processing...

AI Technical Summary

Problems solved by technology

[0003] Generally speaking, the tracking of the target by the aircraft is realized by the visual sensor. The common ways to track the target are, for example, by obtaining the positioning information of the target, by ground guidance, and by the video recognition system. However, with the video With the rapid development of processing technology, the first two methods show certain defects in response speed and accuracy, while the existing video recognition algorithm is poor in real-time and tracking stability

Insufficient consideration in the design of manual control and automatic control switching, resulting in the moment when the target tracking state is turned on and off, it is easy to cause the aircraft to lose control

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